{"id":"https://openalex.org/W2962731494","doi":"https://doi.org/10.1145/3329714.3338129","title":"Classification of Indoor Point Clouds Using Multiviews","display_name":"Classification of Indoor Point Clouds Using Multiviews","publication_year":2019,"publication_date":"2019-07-22","ids":{"openalex":"https://openalex.org/W2962731494","doi":"https://doi.org/10.1145/3329714.3338129","mag":"2962731494"},"language":"en","primary_location":{"id":"doi:10.1145/3329714.3338129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329714.3338129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 24th International Conference on 3D Web Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103875939","display_name":"Vladeta Stojanovic","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]},{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Vladeta Stojanovic","raw_affiliation_strings":["Hasso Plattner Institute,University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute,University of Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090346908","display_name":"Matthias Trapp","orcid":"https://orcid.org/0000-0003-3861-5759"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Trapp","raw_affiliation_strings":["Hasso Plattner Institute,University of Potsdam"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute,University of Potsdam","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081246092","display_name":"J\u00fcrgen D\u00f6llner","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]},{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen D\u00f6llner","raw_affiliation_strings":["Hasso Plattner Institute,University of Potsdam"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute,University of Potsdam","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035885351","display_name":"Rico Richter","orcid":"https://orcid.org/0000-0001-5523-3694"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rico Richter","raw_affiliation_strings":["Hasso Plattner Institute"],"affiliations":[{"raw_affiliation_string":"Hasso Plattner Institute","institution_ids":["https://openalex.org/I143288331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103875939"],"corresponding_institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":2.1921,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88933434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8375170826911926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7948868274688721},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6594396233558655},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6236251592636108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946581363677979},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5559791326522827},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5354037284851074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4424572288990021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4325825273990631},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4273771047592163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37630680203437805},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.1278383731842041}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8375170826911926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7948868274688721},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6594396233558655},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6236251592636108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946581363677979},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5559791326522827},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5354037284851074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4424572288990021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4325825273990631},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4273771047592163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37630680203437805},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1278383731842041},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3329714.3338129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329714.3338129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 24th International Conference on 3D Web Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W250737475","https://openalex.org/W1520989437","https://openalex.org/W1644641054","https://openalex.org/W1673310716","https://openalex.org/W1987518424","https://openalex.org/W2020327719","https://openalex.org/W2038451252","https://openalex.org/W2079745210","https://openalex.org/W2084595284","https://openalex.org/W2117539524","https://openalex.org/W2147545324","https://openalex.org/W2150593711","https://openalex.org/W2156222070","https://openalex.org/W2159271987","https://openalex.org/W2160642098","https://openalex.org/W2253314982","https://openalex.org/W2295382923","https://openalex.org/W2401802930","https://openalex.org/W2460657278","https://openalex.org/W2560609797","https://openalex.org/W2592461288","https://openalex.org/W2604249033","https://openalex.org/W2606864979","https://openalex.org/W2609719703","https://openalex.org/W2615789768","https://openalex.org/W2737234477","https://openalex.org/W2799449744","https://openalex.org/W2803694688","https://openalex.org/W2809085741","https://openalex.org/W2809329632","https://openalex.org/W2888486794","https://openalex.org/W2890010565","https://openalex.org/W2893477965","https://openalex.org/W2903257797","https://openalex.org/W2922213706","https://openalex.org/W2963706542","https://openalex.org/W2964342398","https://openalex.org/W2998115525","https://openalex.org/W3025464494","https://openalex.org/W3104141662","https://openalex.org/W4297836999","https://openalex.org/W6630076395"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W4386078164","https://openalex.org/W2369356834","https://openalex.org/W2966681114","https://openalex.org/W2553918434","https://openalex.org/W2356023405","https://openalex.org/W3105289658","https://openalex.org/W2188484319"],"abstract_inverted_index":{"We":[0,45,94,105,143],"present":[1],"an":[2,55],"approach":[3,108,134,148],"for":[4,19,109,163,186,197],"classifying":[5,110,138],"3D":[6,21,27,50,120,168,179],"point":[7,28,51,121,169,180],"clouds":[8,29,122,170,181],"of":[9,37,64,78,123,167],"indoor":[10,125,140,188],"environments":[11],"using":[12,32,101,115,171],"Convolutional":[13],"Neural":[14],"Network":[15],"(CNN)-based":[16],"image":[17],"analysis":[18],"entropy-selected":[20],"views.":[22],"Prior":[23],"to":[24,58,97],"classification,":[25],"the":[26,60,65,99],"are":[30],"clustered":[31],"either":[33],"Density-based":[34],"Spatial":[35],"Clustering":[36],"Applications":[38],"with":[39,85,191],"Noise":[40],"(DBSCAN)":[41],"or":[42],"k-means":[43],"algorithms.":[44],"then":[46,95],"use":[47,193],"randomly":[48],"sampled":[49],"normal":[52],"vectors":[53],"as":[54,152,194],"entropy":[56],"descriptor":[57],"calculate":[59],"direction":[61],"and":[62,87,118,165,205],"position":[63],"virtual":[66],"camera,":[67],"which":[68],"is":[69,135,161],"placed":[70],"around":[71],"these":[72],"clusters.":[73],"It":[74],"synthesizes":[75],"2D":[76],"images":[77,100],"a":[79,102,153,157,172],"given":[80,173],"cluster":[81],"from":[82],"multiple":[83],"views":[84],"positions":[86],"directions":[88],"that":[89,132,160],"have":[90],"highest":[91],"visual":[92],"entropy.":[93],"proceed":[96],"classify":[98],"retrained":[103],"CNN.":[104],"test":[106],"our":[107,133,147],"common":[111],"office":[112,126],"furniture":[113,141],"items":[114],"both":[116],"synthetic":[117],"actual":[119],"typical":[124],"spaces.":[127],"The":[128,176],"empirical":[129],"results":[130],"demonstrate":[131],"suited":[136],"towards":[137],"specific":[139],"objects.":[142],"also":[144],"describe":[145],"how":[146],"can":[149,182],"be":[150,184],"implemented":[151],"lightweight":[154],"component":[155],"within":[156],"service-oriented":[158],"system":[159],"used":[162,185],"visualization":[164],"classification":[166],"Web3D":[174],"tool.":[175],"resulting":[177],"semantically-enriched":[178],"further":[183,192],"digital":[187],"environment":[189],"representations,":[190],"base":[195],"data":[196],"Building":[198],"Information":[199],"Modeling":[200],"(BIM),":[201],"Facility":[202],"Management":[203],"(FM),":[204],"Digital":[206],"Twin":[207],"(DT)":[208],"applications.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}